Falkner and Boettcher, Equation (20:1,3)

Percentage Accurate: 99.3% → 99.5%
Time: 8.0s
Alternatives: 8
Speedup: 0.9×

Specification

?
\[\begin{array}{l} \\ \frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \end{array} \]
(FPCore (v t)
 :precision binary64
 (/
  (- 1.0 (* 5.0 (* v v)))
  (* (* (* (PI) t) (sqrt (* 2.0 (- 1.0 (* 3.0 (* v v)))))) (- 1.0 (* v v)))))
\begin{array}{l}

\\
\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)}
\end{array}

Sampling outcomes in binary64 precision:

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 8 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 99.3% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \end{array} \]
(FPCore (v t)
 :precision binary64
 (/
  (- 1.0 (* 5.0 (* v v)))
  (* (* (* (PI) t) (sqrt (* 2.0 (- 1.0 (* 3.0 (* v v)))))) (- 1.0 (* v v)))))
\begin{array}{l}

\\
\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)}
\end{array}

Alternative 1: 99.5% accurate, 0.9× speedup?

\[\begin{array}{l} \\ \frac{\frac{\mathsf{fma}\left(-5, v \cdot v, 1\right)}{t}}{\left(\left(\left(1 - v \cdot v\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{2}\right) \cdot \sqrt{\mathsf{fma}\left(v \cdot v, -3, 1\right)}} \end{array} \]
(FPCore (v t)
 :precision binary64
 (/
  (/ (fma -5.0 (* v v) 1.0) t)
  (* (* (* (- 1.0 (* v v)) (PI)) (sqrt 2.0)) (sqrt (fma (* v v) -3.0 1.0)))))
\begin{array}{l}

\\
\frac{\frac{\mathsf{fma}\left(-5, v \cdot v, 1\right)}{t}}{\left(\left(\left(1 - v \cdot v\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{2}\right) \cdot \sqrt{\mathsf{fma}\left(v \cdot v, -3, 1\right)}}
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
  2. Add Preprocessing
  3. Taylor expanded in t around 0

    \[\leadsto \color{blue}{\frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \cdot \sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}}} \]
  4. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)}} \]
    2. lower-*.f64N/A

      \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)}} \]
    3. lower-sqrt.f64N/A

      \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
    4. lower-/.f64N/A

      \[\leadsto \sqrt{\color{blue}{\frac{1}{1 - 3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
    5. metadata-evalN/A

      \[\leadsto \sqrt{\frac{1}{1 - \color{blue}{\left(\mathsf{neg}\left(-3\right)\right)} \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
    6. fp-cancel-sign-sub-invN/A

      \[\leadsto \sqrt{\frac{1}{\color{blue}{1 + -3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
    7. +-commutativeN/A

      \[\leadsto \sqrt{\frac{1}{\color{blue}{-3 \cdot {v}^{2} + 1}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
    8. lower-fma.f64N/A

      \[\leadsto \sqrt{\frac{1}{\color{blue}{\mathsf{fma}\left(-3, {v}^{2}, 1\right)}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
    9. unpow2N/A

      \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, \color{blue}{v \cdot v}, 1\right)}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
    10. lower-*.f64N/A

      \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, \color{blue}{v \cdot v}, 1\right)}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
    11. associate-/r*N/A

      \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)}} \]
    12. associate-/r*N/A

      \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot \left(1 - {v}^{2}\right)}} \]
    13. lower-/.f64N/A

      \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot \left(1 - {v}^{2}\right)}} \]
  5. Applied rewrites99.4%

    \[\leadsto \color{blue}{\sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \frac{\frac{\frac{\mathsf{fma}\left(-5, v \cdot v, 1\right)}{t}}{\mathsf{PI}\left(\right)}}{\left(1 - v \cdot v\right) \cdot \sqrt{2}}} \]
  6. Step-by-step derivation
    1. Applied rewrites99.6%

      \[\leadsto \frac{\frac{\mathsf{fma}\left(-5, v \cdot v, 1\right)}{t} \cdot 1}{\color{blue}{\left(\left(\left(1 - v \cdot v\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{2}\right) \cdot \sqrt{\mathsf{fma}\left(v \cdot v, -3, 1\right)}}} \]
    2. Final simplification99.6%

      \[\leadsto \frac{\frac{\mathsf{fma}\left(-5, v \cdot v, 1\right)}{t}}{\left(\left(\left(1 - v \cdot v\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{2}\right) \cdot \sqrt{\mathsf{fma}\left(v \cdot v, -3, 1\right)}} \]
    3. Add Preprocessing

    Alternative 2: 98.4% accurate, 0.6× speedup?

    \[\begin{array}{l} \\ {\left(\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t\right)}^{-1} \end{array} \]
    (FPCore (v t) :precision binary64 (pow (* (* (sqrt 2.0) (PI)) t) -1.0))
    \begin{array}{l}
    
    \\
    {\left(\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t\right)}^{-1}
    \end{array}
    
    Derivation
    1. Initial program 99.4%

      \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in v around 0

      \[\leadsto \color{blue}{\frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
    4. Step-by-step derivation
      1. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
      2. *-commutativeN/A

        \[\leadsto \frac{1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
      4. *-commutativeN/A

        \[\leadsto \frac{1}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
      5. lower-*.f64N/A

        \[\leadsto \frac{1}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
      6. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
      7. lower-PI.f6499.0

        \[\leadsto \frac{1}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
    5. Applied rewrites99.0%

      \[\leadsto \color{blue}{\frac{1}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
    6. Final simplification99.0%

      \[\leadsto {\left(\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t\right)}^{-1} \]
    7. Add Preprocessing

    Alternative 3: 98.3% accurate, 0.6× speedup?

    \[\begin{array}{l} \\ {\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2}\right)}^{-1} \end{array} \]
    (FPCore (v t) :precision binary64 (pow (* (* (PI) t) (sqrt 2.0)) -1.0))
    \begin{array}{l}
    
    \\
    {\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2}\right)}^{-1}
    \end{array}
    
    Derivation
    1. Initial program 99.4%

      \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in v around 0

      \[\leadsto \color{blue}{\frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
    4. Step-by-step derivation
      1. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
      2. *-commutativeN/A

        \[\leadsto \frac{1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
      4. *-commutativeN/A

        \[\leadsto \frac{1}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
      5. lower-*.f64N/A

        \[\leadsto \frac{1}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
      6. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
      7. lower-PI.f6499.0

        \[\leadsto \frac{1}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
    5. Applied rewrites99.0%

      \[\leadsto \color{blue}{\frac{1}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
    6. Step-by-step derivation
      1. Applied rewrites98.9%

        \[\leadsto \frac{1}{\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \color{blue}{\sqrt{2}}} \]
      2. Final simplification98.9%

        \[\leadsto {\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2}\right)}^{-1} \]
      3. Add Preprocessing

      Alternative 4: 99.1% accurate, 1.6× speedup?

      \[\begin{array}{l} \\ \frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot t} \end{array} \]
      (FPCore (v t)
       :precision binary64
       (/ (/ (fma -2.5 (* v v) 1.0) (PI)) (* (sqrt 2.0) t)))
      \begin{array}{l}
      
      \\
      \frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot t}
      \end{array}
      
      Derivation
      1. Initial program 99.4%

        \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
      2. Add Preprocessing
      3. Taylor expanded in t around 0

        \[\leadsto \color{blue}{\frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \cdot \sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}}} \]
      4. Step-by-step derivation
        1. *-commutativeN/A

          \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)}} \]
        2. lower-*.f64N/A

          \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)}} \]
        3. lower-sqrt.f64N/A

          \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
        4. lower-/.f64N/A

          \[\leadsto \sqrt{\color{blue}{\frac{1}{1 - 3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
        5. metadata-evalN/A

          \[\leadsto \sqrt{\frac{1}{1 - \color{blue}{\left(\mathsf{neg}\left(-3\right)\right)} \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
        6. fp-cancel-sign-sub-invN/A

          \[\leadsto \sqrt{\frac{1}{\color{blue}{1 + -3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
        7. +-commutativeN/A

          \[\leadsto \sqrt{\frac{1}{\color{blue}{-3 \cdot {v}^{2} + 1}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
        8. lower-fma.f64N/A

          \[\leadsto \sqrt{\frac{1}{\color{blue}{\mathsf{fma}\left(-3, {v}^{2}, 1\right)}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
        9. unpow2N/A

          \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, \color{blue}{v \cdot v}, 1\right)}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
        10. lower-*.f64N/A

          \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, \color{blue}{v \cdot v}, 1\right)}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
        11. associate-/r*N/A

          \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)}} \]
        12. associate-/r*N/A

          \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot \left(1 - {v}^{2}\right)}} \]
        13. lower-/.f64N/A

          \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot \left(1 - {v}^{2}\right)}} \]
      5. Applied rewrites99.4%

        \[\leadsto \color{blue}{\sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \frac{\frac{\frac{\mathsf{fma}\left(-5, v \cdot v, 1\right)}{t}}{\mathsf{PI}\left(\right)}}{\left(1 - v \cdot v\right) \cdot \sqrt{2}}} \]
      6. Taylor expanded in v around 0

        \[\leadsto \color{blue}{\frac{-5}{2} \cdot \frac{{v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
      7. Step-by-step derivation
        1. associate-*r/N/A

          \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
        2. div-add-revN/A

          \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
        3. lower-/.f64N/A

          \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
        4. *-commutativeN/A

          \[\leadsto \frac{\color{blue}{{v}^{2} \cdot \frac{-5}{2}} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
        5. lower-fma.f64N/A

          \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({v}^{2}, \frac{-5}{2}, 1\right)}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
        6. unpow2N/A

          \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
        7. lower-*.f64N/A

          \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
        8. *-commutativeN/A

          \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
        9. lower-*.f64N/A

          \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
        10. *-commutativeN/A

          \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
        11. lower-*.f64N/A

          \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
        12. lower-sqrt.f64N/A

          \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
        13. lower-PI.f6499.3

          \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
      8. Applied rewrites99.3%

        \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
      9. Step-by-step derivation
        1. Applied rewrites99.4%

          \[\leadsto \color{blue}{\frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot t}} \]
        2. Add Preprocessing

        Alternative 5: 99.0% accurate, 1.6× speedup?

        \[\begin{array}{l} \\ \frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{t}}{\sqrt{2} \cdot \mathsf{PI}\left(\right)} \end{array} \]
        (FPCore (v t)
         :precision binary64
         (/ (/ (fma -2.5 (* v v) 1.0) t) (* (sqrt 2.0) (PI))))
        \begin{array}{l}
        
        \\
        \frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{t}}{\sqrt{2} \cdot \mathsf{PI}\left(\right)}
        \end{array}
        
        Derivation
        1. Initial program 99.4%

          \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
        2. Add Preprocessing
        3. Taylor expanded in t around 0

          \[\leadsto \color{blue}{\frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \cdot \sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}}} \]
        4. Step-by-step derivation
          1. *-commutativeN/A

            \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)}} \]
          2. lower-*.f64N/A

            \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)}} \]
          3. lower-sqrt.f64N/A

            \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
          4. lower-/.f64N/A

            \[\leadsto \sqrt{\color{blue}{\frac{1}{1 - 3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
          5. metadata-evalN/A

            \[\leadsto \sqrt{\frac{1}{1 - \color{blue}{\left(\mathsf{neg}\left(-3\right)\right)} \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
          6. fp-cancel-sign-sub-invN/A

            \[\leadsto \sqrt{\frac{1}{\color{blue}{1 + -3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
          7. +-commutativeN/A

            \[\leadsto \sqrt{\frac{1}{\color{blue}{-3 \cdot {v}^{2} + 1}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
          8. lower-fma.f64N/A

            \[\leadsto \sqrt{\frac{1}{\color{blue}{\mathsf{fma}\left(-3, {v}^{2}, 1\right)}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
          9. unpow2N/A

            \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, \color{blue}{v \cdot v}, 1\right)}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
          10. lower-*.f64N/A

            \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, \color{blue}{v \cdot v}, 1\right)}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
          11. associate-/r*N/A

            \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)}} \]
          12. associate-/r*N/A

            \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot \left(1 - {v}^{2}\right)}} \]
          13. lower-/.f64N/A

            \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot \left(1 - {v}^{2}\right)}} \]
        5. Applied rewrites99.4%

          \[\leadsto \color{blue}{\sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \frac{\frac{\frac{\mathsf{fma}\left(-5, v \cdot v, 1\right)}{t}}{\mathsf{PI}\left(\right)}}{\left(1 - v \cdot v\right) \cdot \sqrt{2}}} \]
        6. Taylor expanded in v around 0

          \[\leadsto \color{blue}{\frac{-5}{2} \cdot \frac{{v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
        7. Step-by-step derivation
          1. associate-*r/N/A

            \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
          2. div-add-revN/A

            \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
          3. lower-/.f64N/A

            \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
          4. *-commutativeN/A

            \[\leadsto \frac{\color{blue}{{v}^{2} \cdot \frac{-5}{2}} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
          5. lower-fma.f64N/A

            \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({v}^{2}, \frac{-5}{2}, 1\right)}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
          6. unpow2N/A

            \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
          7. lower-*.f64N/A

            \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
          8. *-commutativeN/A

            \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
          9. lower-*.f64N/A

            \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
          10. *-commutativeN/A

            \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
          11. lower-*.f64N/A

            \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
          12. lower-sqrt.f64N/A

            \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
          13. lower-PI.f6499.3

            \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
        8. Applied rewrites99.3%

          \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
        9. Step-by-step derivation
          1. Applied rewrites99.4%

            \[\leadsto \frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{t}}{\color{blue}{\sqrt{2} \cdot \mathsf{PI}\left(\right)}} \]
          2. Add Preprocessing

          Alternative 6: 98.9% accurate, 1.8× speedup?

          \[\begin{array}{l} \\ \frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \end{array} \]
          (FPCore (v t)
           :precision binary64
           (/ (fma -2.5 (* v v) 1.0) (* (* (sqrt 2.0) (PI)) t)))
          \begin{array}{l}
          
          \\
          \frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}
          \end{array}
          
          Derivation
          1. Initial program 99.4%

            \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
          2. Add Preprocessing
          3. Taylor expanded in v around 0

            \[\leadsto \color{blue}{\frac{-5}{2} \cdot \frac{{v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
          4. Step-by-step derivation
            1. associate-*r/N/A

              \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
            2. div-add-revN/A

              \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
            3. lower-/.f64N/A

              \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
            4. lower-fma.f64N/A

              \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(\frac{-5}{2}, {v}^{2}, 1\right)}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
            5. unpow2N/A

              \[\leadsto \frac{\mathsf{fma}\left(\frac{-5}{2}, \color{blue}{v \cdot v}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
            6. lower-*.f64N/A

              \[\leadsto \frac{\mathsf{fma}\left(\frac{-5}{2}, \color{blue}{v \cdot v}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
            7. *-commutativeN/A

              \[\leadsto \frac{\mathsf{fma}\left(\frac{-5}{2}, v \cdot v, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
            8. lower-*.f64N/A

              \[\leadsto \frac{\mathsf{fma}\left(\frac{-5}{2}, v \cdot v, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
            9. *-commutativeN/A

              \[\leadsto \frac{\mathsf{fma}\left(\frac{-5}{2}, v \cdot v, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
            10. lower-*.f64N/A

              \[\leadsto \frac{\mathsf{fma}\left(\frac{-5}{2}, v \cdot v, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
            11. lower-sqrt.f64N/A

              \[\leadsto \frac{\mathsf{fma}\left(\frac{-5}{2}, v \cdot v, 1\right)}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
            12. lower-PI.f6499.3

              \[\leadsto \frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
          5. Applied rewrites99.3%

            \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
          6. Add Preprocessing

          Alternative 7: 98.6% accurate, 2.0× speedup?

          \[\begin{array}{l} \\ \frac{\frac{1}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot t} \end{array} \]
          (FPCore (v t) :precision binary64 (/ (/ 1.0 (PI)) (* (sqrt 2.0) t)))
          \begin{array}{l}
          
          \\
          \frac{\frac{1}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot t}
          \end{array}
          
          Derivation
          1. Initial program 99.4%

            \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
          2. Add Preprocessing
          3. Taylor expanded in t around 0

            \[\leadsto \color{blue}{\frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \cdot \sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}}} \]
          4. Step-by-step derivation
            1. *-commutativeN/A

              \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)}} \]
            2. lower-*.f64N/A

              \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)}} \]
            3. lower-sqrt.f64N/A

              \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
            4. lower-/.f64N/A

              \[\leadsto \sqrt{\color{blue}{\frac{1}{1 - 3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
            5. metadata-evalN/A

              \[\leadsto \sqrt{\frac{1}{1 - \color{blue}{\left(\mathsf{neg}\left(-3\right)\right)} \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
            6. fp-cancel-sign-sub-invN/A

              \[\leadsto \sqrt{\frac{1}{\color{blue}{1 + -3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
            7. +-commutativeN/A

              \[\leadsto \sqrt{\frac{1}{\color{blue}{-3 \cdot {v}^{2} + 1}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
            8. lower-fma.f64N/A

              \[\leadsto \sqrt{\frac{1}{\color{blue}{\mathsf{fma}\left(-3, {v}^{2}, 1\right)}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
            9. unpow2N/A

              \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, \color{blue}{v \cdot v}, 1\right)}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
            10. lower-*.f64N/A

              \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, \color{blue}{v \cdot v}, 1\right)}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
            11. associate-/r*N/A

              \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)}} \]
            12. associate-/r*N/A

              \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot \left(1 - {v}^{2}\right)}} \]
            13. lower-/.f64N/A

              \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot \left(1 - {v}^{2}\right)}} \]
          5. Applied rewrites99.4%

            \[\leadsto \color{blue}{\sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \frac{\frac{\frac{\mathsf{fma}\left(-5, v \cdot v, 1\right)}{t}}{\mathsf{PI}\left(\right)}}{\left(1 - v \cdot v\right) \cdot \sqrt{2}}} \]
          6. Taylor expanded in v around 0

            \[\leadsto \color{blue}{\frac{-5}{2} \cdot \frac{{v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
          7. Step-by-step derivation
            1. associate-*r/N/A

              \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
            2. div-add-revN/A

              \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
            3. lower-/.f64N/A

              \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
            4. *-commutativeN/A

              \[\leadsto \frac{\color{blue}{{v}^{2} \cdot \frac{-5}{2}} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
            5. lower-fma.f64N/A

              \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({v}^{2}, \frac{-5}{2}, 1\right)}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
            6. unpow2N/A

              \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
            7. lower-*.f64N/A

              \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
            8. *-commutativeN/A

              \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
            9. lower-*.f64N/A

              \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
            10. *-commutativeN/A

              \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
            11. lower-*.f64N/A

              \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
            12. lower-sqrt.f64N/A

              \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
            13. lower-PI.f6499.3

              \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
          8. Applied rewrites99.3%

            \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
          9. Step-by-step derivation
            1. Applied rewrites99.4%

              \[\leadsto \color{blue}{\frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot t}} \]
            2. Taylor expanded in v around 0

              \[\leadsto \frac{\frac{1}{\mathsf{PI}\left(\right)}}{\sqrt{\color{blue}{2}} \cdot t} \]
            3. Step-by-step derivation
              1. Applied rewrites99.1%

                \[\leadsto \frac{\frac{1}{\mathsf{PI}\left(\right)}}{\sqrt{\color{blue}{2}} \cdot t} \]
              2. Add Preprocessing

              Alternative 8: 98.5% accurate, 2.0× speedup?

              \[\begin{array}{l} \\ \frac{\frac{1}{t}}{\sqrt{2} \cdot \mathsf{PI}\left(\right)} \end{array} \]
              (FPCore (v t) :precision binary64 (/ (/ 1.0 t) (* (sqrt 2.0) (PI))))
              \begin{array}{l}
              
              \\
              \frac{\frac{1}{t}}{\sqrt{2} \cdot \mathsf{PI}\left(\right)}
              \end{array}
              
              Derivation
              1. Initial program 99.4%

                \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
              2. Add Preprocessing
              3. Taylor expanded in t around 0

                \[\leadsto \color{blue}{\frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \cdot \sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}}} \]
              4. Step-by-step derivation
                1. *-commutativeN/A

                  \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)}} \]
                2. lower-*.f64N/A

                  \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)}} \]
                3. lower-sqrt.f64N/A

                  \[\leadsto \color{blue}{\sqrt{\frac{1}{1 - 3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
                4. lower-/.f64N/A

                  \[\leadsto \sqrt{\color{blue}{\frac{1}{1 - 3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
                5. metadata-evalN/A

                  \[\leadsto \sqrt{\frac{1}{1 - \color{blue}{\left(\mathsf{neg}\left(-3\right)\right)} \cdot {v}^{2}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
                6. fp-cancel-sign-sub-invN/A

                  \[\leadsto \sqrt{\frac{1}{\color{blue}{1 + -3 \cdot {v}^{2}}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
                7. +-commutativeN/A

                  \[\leadsto \sqrt{\frac{1}{\color{blue}{-3 \cdot {v}^{2} + 1}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
                8. lower-fma.f64N/A

                  \[\leadsto \sqrt{\frac{1}{\color{blue}{\mathsf{fma}\left(-3, {v}^{2}, 1\right)}}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
                9. unpow2N/A

                  \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, \color{blue}{v \cdot v}, 1\right)}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
                10. lower-*.f64N/A

                  \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, \color{blue}{v \cdot v}, 1\right)}} \cdot \frac{1 - 5 \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)\right)} \]
                11. associate-/r*N/A

                  \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right) \cdot \left(\sqrt{2} \cdot \left(1 - {v}^{2}\right)\right)}} \]
                12. associate-/r*N/A

                  \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot \left(1 - {v}^{2}\right)}} \]
                13. lower-/.f64N/A

                  \[\leadsto \sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \color{blue}{\frac{\frac{\frac{1 - 5 \cdot {v}^{2}}{t}}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot \left(1 - {v}^{2}\right)}} \]
              5. Applied rewrites99.4%

                \[\leadsto \color{blue}{\sqrt{\frac{1}{\mathsf{fma}\left(-3, v \cdot v, 1\right)}} \cdot \frac{\frac{\frac{\mathsf{fma}\left(-5, v \cdot v, 1\right)}{t}}{\mathsf{PI}\left(\right)}}{\left(1 - v \cdot v\right) \cdot \sqrt{2}}} \]
              6. Taylor expanded in v around 0

                \[\leadsto \color{blue}{\frac{-5}{2} \cdot \frac{{v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
              7. Step-by-step derivation
                1. associate-*r/N/A

                  \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                2. div-add-revN/A

                  \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
                3. lower-/.f64N/A

                  \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
                4. *-commutativeN/A

                  \[\leadsto \frac{\color{blue}{{v}^{2} \cdot \frac{-5}{2}} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                5. lower-fma.f64N/A

                  \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({v}^{2}, \frac{-5}{2}, 1\right)}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                6. unpow2N/A

                  \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                7. lower-*.f64N/A

                  \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                8. *-commutativeN/A

                  \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
                9. lower-*.f64N/A

                  \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
                10. *-commutativeN/A

                  \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
                11. lower-*.f64N/A

                  \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
                12. lower-sqrt.f64N/A

                  \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
                13. lower-PI.f6499.3

                  \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
              8. Applied rewrites99.3%

                \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
              9. Step-by-step derivation
                1. Applied rewrites99.4%

                  \[\leadsto \frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{t}}{\color{blue}{\sqrt{2} \cdot \mathsf{PI}\left(\right)}} \]
                2. Taylor expanded in v around 0

                  \[\leadsto \frac{\frac{1}{t}}{\sqrt{\color{blue}{2}} \cdot \mathsf{PI}\left(\right)} \]
                3. Step-by-step derivation
                  1. Applied rewrites99.1%

                    \[\leadsto \frac{\frac{1}{t}}{\sqrt{\color{blue}{2}} \cdot \mathsf{PI}\left(\right)} \]
                  2. Add Preprocessing

                  Reproduce

                  ?
                  herbie shell --seed 2024326 
                  (FPCore (v t)
                    :name "Falkner and Boettcher, Equation (20:1,3)"
                    :precision binary64
                    (/ (- 1.0 (* 5.0 (* v v))) (* (* (* (PI) t) (sqrt (* 2.0 (- 1.0 (* 3.0 (* v v)))))) (- 1.0 (* v v)))))